Head to head
Kimi K2.6 vs Mistral Large 3
Kimi K2.6 (Moonshot AI) and Mistral Large 3 (Mistral) compared on intelligence, speed, context, and price — and which to choose. Both run on just4o.chat from one chat.
| Metric | Kimi K2.6 | Mistral Large 3 |
|---|---|---|
| Intelligence (AA index) | 43 ✓ | 16 |
| Output speed (tokens/sec) | 83.2 ✓ | 49.1 |
| Context window | 256K | 256K |
| Max output | 262K | — |
| Input price / 1M | $0.95 | $0.5 ✓ |
| Output price / 1M | $4 | $1.5 ✓ |
| Released | 2026-04 | 2025-12 |
Choose Kimi K2.6 if you want…
- Higher intelligence (Artificial Analysis index 43)
- Faster output (~83.2 tokens/sec)
Choose Mistral Large 3 if you want…
- Lower price ($0.75 / 1M blended)
Kimi K2.6
Kimi K2.6 is Moonshot AI's open-weight coding specialist built for the kind of work that takes hours, not seconds. Its signature capability is agent swarm orchestration — coordinating up to 300 sub-agents across 4,000 execution steps — enabling autonomous refactoring sessions that developers have run for over 13 hours straight. On SWE-Bench Verified it scores 80.2%, and it edges out GPT-5.4 on SWE-Bench Pro at 58.6%, making it the strongest open-weight coding model available at its price point. Users report up to 88% cost savings on coding workloads compared to proprietary alternatives, which is the real draw for teams running code-heavy pipelines at scale. The tradeoff is speed and occasional drift: at 40.6 tokens per second — well below the category median — it is not suited to real-time use. In long-running agentic tasks, users note the model can wander into unnecessary redesigns around the three-hour mark, requiring clear, constrained prompting to keep it on track. For deep, non-interactive coding work where cost efficiency and open-weight flexibility matter more than instant responses, K2.6 occupies a position few models can match.
Full Kimi K2.6 details →Mistral Large 3
Mistral Large 3 is the French lab's flagship dense model, and on just4o.chat it runs through the Vercel AI Gateway under the mistral/mistral-large-3 route. It pairs strong general reasoning with the multilingual fluency Mistral is known for — European languages in particular — and reliable function calling for tool-driven workflows. A 256k-token context window is roomy enough for long documents, multi-file code, or extended chats without truncation, and at $0.50 per million input and $1.50 per million output tokens it sits at the affordable end of frontier-class models. On just4o.chat it is a base-tier model available on every plan, billed at 2 base requests per send before length multipliers. One practical note worth flagging up front: like the rest of the Mistral lineup here, it has no native web search, and it is text-only — no image input. For teams that want a capable, cost-disciplined generalist with first-rate multilingual handling, it is an easy default.
Full Mistral Large 3 details →FAQ
Which is better, Kimi K2.6 or Mistral Large 3?
Kimi K2.6 leads on 2 of the headline metrics (higher intelligence (artificial analysis index 43); faster output (~83.2 tokens/sec)), while Mistral Large 3 wins on lower price ($0.75 / 1m blended). The right pick depends on whether you prioritise capability, speed, or cost.
Is Kimi K2.6 or Mistral Large 3 cheaper?
Mistral Large 3 is cheaper at $0.75 per 1M tokens (blended), versus $1.71.
Can I use both Kimi K2.6 and Mistral Large 3?
Yes. Both are available on just4o.chat from a single chat — you can switch between them per message with no separate subscriptions.